Triple
T26815413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manic-5 dam |
E672110
|
entity |
| Predicate | numberOfButtresses |
P196489
|
FINISHED |
| Object | 13 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 13 | Statement: [Manic-5 dam, numberOfButtresses, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfButtresses Context triple: [Manic-5 dam, numberOfButtresses, 13]
-
A.
buttresses
Indicates that one entity physically supports, reinforces, or strengthens another, often by providing structural backing or stabilization.
-
B.
numberOfBastions
Indicates the quantity of bastions associated with or contained by a given entity.
-
C.
Southeast Buttress_rating
Indicates the difficulty or quality rating assigned to the Southeast Buttress route or feature in a climbing or mountaineering context.
-
D.
numberOfTowers
Indicates the quantity of towers associated with or contained by a given entity.
-
E.
Southeast Buttress_type
Indicates that the subject is classified specifically as a "Southeast Buttress," i.e., a buttress feature located on the southeast side.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
| PDg | Predicate description generation | batch_69fe59d03a648190bbe846cb5730a477 |
completed | May 8, 2026, 9:46 p.m. |
Created at: April 27, 2026, 4:32 a.m.